NCHU Course Outline
Course Name (中) 機械製造分析(5133)
(Eng.) Analysis of Mechanical Manufacturing
Offering Dept Department of Mechanical Engineering
Course Type Elective Credits 3 Teacher FANN, KUANG-JAU
Department Department of Mechanical Engineering/Undergraduate Language English Semester 2025-FALL
Course Description 本課程以16+2與PBL的教學方式進行，藉機械製造程序的變異分析，講述推論統計、統計製程控制、回歸分析與實驗設計等原理，使學生能瞭解機械製造過程中減少結果變異的方法，並藉專題報告的自主學習進行彈性教學，從而應用推論統計建立降低機械製造變異的研究分析能力，並探索達成聯合國全球永續發展目標的可能途徑。
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
1. 能區分機械製造的製程方法
2. 能描述所熟悉機械製造的核心作用原理
3. 能說明機械製造製程參數與結果間的關連
4. 能解釋機械製造結果變異的成因
5. 能推導降低製造變異的原理
6. 能闡明用於製造變異分析的統計原理與推論方法
7. 能解說統計製程控制、線性回歸與實驗設計的背景原理等方法
8. 能知悉聯合國全球永續發展目標，並能說出與機械製造的關係
1.The ability to apply the knowledge of math, science, and mechanical engineering.
2.The ability to design and conduct experiments, as well as to analyze the data obtained.
3.The ability to work with others as a team to design and manufacture products of mechanical engineering systems.
4.The ability humanities awareness and a knowledge of contemporary issues, and to understand the impact of science and engineering technologies, environmental, societal, and global context.
5.The ability of continuing study and self-learning.
6.The knowledge of professional ethics and social responsibilities of a mechanical engineer.
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topic Discussion/Production
Networking/Distance Education
Discussion
Lecturing
Written Presentation
Attendance
Oral Presentation
Assignment
Quiz
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Introduction & Project for Self-Directed Learning: Case Study Statistical Analysis in Manufacturing Mechanical Parts for Sustainable Development (Self-Directed Learning 6 Hours Extra Separately)
Week 2 Category of Mechanical Manufacturing Processes
Week 3 Process Parameters in Mechanical Manufacturing
Week 4 Sources of Variation in Mechanical Manufacturing
Week 5 Nature of Variation: Equation of Variation
Week 6 Variation Description: Probability and Random Variables
Week 7 Descriptive Statistics and Central Limit Theorem
Week 8 Inference Statistics
Week 9 Mid-Term
Week 10 Shewhart Model of Manufacturing and Charting
Week 11 Statistical Process Control and Process Capability
Week 12 Empirical Process Modeling and Testing
Week 13 Analysis of Variance (ANOVA)
Week 14 Linear Regression and ANOVA
Week 15 Designed Experiments: Full Factorial Models and ANOVA
Week 16 Final Exam Project Report or Presentation for Self-Directed Learning 3 Hours happened during Weeks 1-16 Project Report or Presentation for Another Self-Directed Learning 3 Hours happened during Weeks 1-16
self-directed
learning
Evaluation
作業、測驗、考試、iLearning、分組、Zuvio、討論、課堂參與
Textbook & other References
教科書：
Montgomery, D.C., Introduction to Statistical Quality Control, 6th Ed. John Wiley & Sons, Inc., 2009, ISBN 978-0-470-16992-6
參考書目：
課堂講義
Teaching Aids & Teacher's Website
需備有行動裝置、Zuvio帳號、先行分組、課程教材以教科書為主，佐以投影片、板書講授分析過程
iLearning 數位教學平台
Office Hours
星期四 8:10~9:00及12:00~12:30
Sustainable Development Goals, SDGs(Link URL)
07.Affordable and Clean Energy   08.Decent Work and Economic Growth   09.Industry, Innovation and Infrastructure   10.Reduced Inequalities   11.Sustainable Cities and Communities   12.Responsible Consumption   13.Climate Action   14.Life Below Water   15.Life On Land   16.Peace and Justice   17.Partnerships for the Goalsinclude experience courses：N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：None Printed Date, year/month/day：2025 / 6 / 18
The second-hand book website：http://www.myub.com.tw/